Evidence map›Paper›PMID 42684344›Full record

ArticleJMIR research protocols2026

Epigenetic Profiling for Early Detection and Treatment Response Monitoring in Non-Small Cell Lung Cancer: Protocol for a Prospective Translational Biomarker Study.

Rajiv Kumar, Safia May Farry, Mark Ezegbogu, Glen Reid, Euan James Rodger, Ben Brockway, Aniruddha Chatterjee

Abstract read
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rajiv KumarDepartment of Pathology and Molecular Medicine, Faculty of Medicine - Dunedin, University of Otago, 58 Hanover Street, Hercus Building, Dunedin, 9016, New Zealand, 64 210701558.ORCID 0000-0002-9809-3203
Safia May FarryDepartment of Pathology and Molecular Medicine, Faculty of Medicine - Dunedin, University of Otago, 58 Hanover Street, Hercus Building, Dunedin, 9016, New Zealand, 64 210701558.ORCID 0009-0000-8491-689X
Mark EzegboguDepartment of Pathology and Molecular Medicine, Faculty of Medicine - Dunedin, University of Otago, 58 Hanover Street, Hercus Building, Dunedin, 9016, New Zealand, 64 210701558.ORCID 0000-0001-8242-6600
Glen ReidDepartment of Pathology and Molecular Medicine, Faculty of Medicine - Dunedin, University of Otago, 58 Hanover Street, Hercus Building, Dunedin, 9016, New Zealand, 64 210701558.ORCID 0000-0001-6465-5223
Euan James RodgerDepartment of Pathology and Molecular Medicine, Faculty of Medicine - Dunedin, University of Otago, 58 Hanover Street, Hercus Building, Dunedin, 9016, New Zealand, 64 210701558.ORCID 0000-0002-9615-5896
Ben Brockway *Department of Medicine, Faculty of Medicine - Dunedin, University of Otago, Dunedin, New Zealand.ORCID 0000-0001-5047-3592
Aniruddha Chatterjee *Department of Pathology and Molecular Medicine, Faculty of Medicine - Dunedin, University of Otago, 58 Hanover Street, Hercus Building, Dunedin, 9016, New Zealand, 64 210701558.ORCID 0000-0001-7276-2248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide and continues to have poor survival outcomes, with most patients diagnosed at advanced stages of disease. In New Zealand, NSCLC contributes substantially to cancer inequities, with Māori communities experiencing disproportionately high incidence and mortality rates. Although low-dose computed tomography screening can improve early detection, major limitations remain, including false-positive findings, overdiagnosis, high infrastructure costs, and limited accessibility for rural and underserved populations. Liquid biopsy approaches using circulating tumor DNA (ctDNA), particularly DNA methylation profiling, have emerged as promising, minimally invasive strategies for improving cancer detection, treatment monitoring, and precision oncology. Objective: This study aims to establish integrated genomic and epigenomic predictive and prognostic biomarkers using ctDNA, tumor tissue, and transcriptomic profiling to improve early detection, risk stratification, treatment selection and response prediction, and longitudinal monitoring, with particular emphasis on identifying molecular mechanisms associated with treatment resistance and disease progression. Methods: This prospective observational translational biomarker study is being conducted through the University of Otago and associated respiratory and oncology services in New Zealand. The study will recruit participants with NSCLC (including squamous and nonsquamous subtypes), individuals referred to fast-track lung nodule assessment clinics, and nonmalignant respiratory controls. Serial peripheral blood sampling will be performed in selected participants at predefined clinical follow-up time points to evaluate treatment response and disease progression. The availability of formalin-fixed paraffin-embedded archival tissues will be recorded, but will not be mandatory for enrollment. Genome-scale DNA methylation profiling will be performed using cell-free reduced representation bisulfite sequencing (cfRRBS), while targeted genomic profiling and transcriptomic analyses will be conducted using targeted sequencing panels and RNA sequencing. Integrative bioinformatic analyses will be used to identify molecular biomarkers associated with early-stage disease, advanced disease, treatment response, and therapeutic resistance. Results: Ethics approval for the study has been obtained from the New Zealand Health and Disability Ethics Committee (2022 EXP 12566). This study commenced in 2022, and recruitment and biospecimen collection are ongoing. The study aims to recruit approximately 450 participants, including patients with NSCLC, individuals referred through respiratory diagnostic pathways, and nonmalignant controls. As of July 31, 2026, 205 participants have been recruited, with recruitment continuing until the target sample size is reached. Molecular and data analyses are ongoing, with additional publications expected as the cohort matures. Conclusions: This study will generate one of the first integrated genomic, epigenomic, and transcriptomic liquid biopsy datasets for NSCLC in New Zealand. The findings are expected to support the development of sensitive, accessible, and equitable blood-based biomarkers for NSCLC detection and treatment monitoring while also contributing to improved precision oncology approaches and reducing NSCLC inequities among Māori populations.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungEarly Detection of CancerEpigenomicsLung NeoplasmsCirculating Tumor DNADNA MethylationEpigenesis, GeneticGene Expression ProfilingHumansLiquid BiopsyNew ZealandObservational Studies as TopicProspective StudiesTranslational Research, BiomedicalBiomarkers, TumorCirculating Tumor DNAbiomarkerscirculating tumor DNADNA methylationearly detectionepigeneticsliquid biopsylung cancerMāori healthreduced representation bisulfite sequencingRRBStranscriptomicstreatment response

Identifiers

PMID42684344
PMCPMC13520765

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.